Automatic Speech Recognition
NeMo
ONNX
Safetensors
GGUF
parakeet_tdt
parakeet
tdt
sherpa-onnx
multilingual
speech-recognition
gabor
fastconformer
Instructions to use oruk/orukeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use oruk/orukeet with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("oruk/orukeet") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from oruk/orukeet: direct link, hf CLI and curl.
- Browser
- Download file 264 Bytes
-
https://huggingface.co/oruk/orukeet/resolve/main/generation_config.json
- Command line
-
hf download hf://oruk/orukeet/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/oruk/orukeet/resolve/main/generation_config.json
264 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 8192, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 2, | |
| "suppress_tokens": [ | |
| 8193, | |
| 8194, | |
| 8195, | |
| 8196, | |
| 8197 | |
| ], | |
| "transformers_version": "5.15.1" | |
| } | |